Top 293 Machine learning operations architect Jobs in Sunnyvale, Ca

Machine Learning Data Engineer (DataOps), Materra
Loon —Mountain View, CA
- $166,000 - $244,000 a year
- Full-time
- Computer Science
- Mid-level
- 3 years
Machine Learning Architect
Joy and Grace LLC —Redwood City, CA
- $130,000 - $160,000 a month
- Full-time
- Computer Science
- Research
- Doctor of Philosophy
Quick Apply
Senior Staff Machine Learning Engineer, Tapestry
Loon —Mountain View, CA
- $262,000 - $361,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Master's degree
- Health insurance
- Dental insurance
Cloud and Operations Lead Architect
Ascentt Business Systems —Fremont, CA
- Azure
- Computer Science
- 5 years
Reinforcement Learning Engineer
Hammerhead AI —Redwood City, CA
- Full-time
- Computer science
- Computer Science
- System design
- Health insurance
- Dental insurance
AI Architect
Apple —Cupertino, CA
- $207,400 - $311,700 a year
- Computer Science
- 5 years
- Senior level
- Employee stock purchase plan
- Health insurance
Software Engineer, Machine Learning RecSys
Meta —Menlo Park, CA
- $154,003 - $217,000 a year
- Computer science
- Computer Science
- Mid-level
Senior Software Engineer (AI)
Zuora —Foster City, CA
- $164,800 - $226,600 a year
- Email
- Hybrid work
- System design
- Office
- 8 years
- Paid parental leave
- Paid holidays
2d
Senior Machine Learning Engineer - AV Labs
Uber —Sunnyvale, CA
- $202,000 - $224,000 a year
- Full-time
- Computer Science
- System design
- Office
- 401(k)
Distinguished Machine Learning Engineer, Customer Intelligence and Recommendation
GEICO —Palo Alto, CA
- $150,000 - $300,000 a year
- Full-time
- Computer Science
- 5 years
- System design
Compiler Architect
SambaNova —Palo Alto, CA
- $210,000 - $280,000 a year
- Full-time
- Computer Science
- 5 years
- Master's degree
- Health savings account
- AD&D insurance
10d
Solution Architect I
Ross Stores —Dublin, CA
- $114,300 - $195,000 a year
- Hybrid work
- Computer science
- Computer Science
- 5 years
Sr. Principal Engineer/ Principal Engineer – Cloud Platform (10395, 10448)
Extreme Networks —San Jose, CA
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Retirement plan
Quick Apply
Machine Learning Engineer, Model Hardware CoDesign
Tesla —Palo Alto, CA
- $176,000 - $420,000 a year
- Full-time
- Research
- Senior level
- Commuter assistance
- Health savings account
Staff Data Engineer
Visa Technology and Operations LLC —Foster City, CA
- $146,200 - $233,700 a year
- Full-time
- Hybrid work
- Office
- Java
- SQL
- Wellness program
- Health savings account
Quick Apply
Staff Engineer - Machine Learning
Freshworks —San Mateo, CA
- $211,000 - $261,000 a year
- Full-time
- Hybrid work
- System design
- Office
- Java
- Commuter assistance
- Employee stock purchase plan
Quick Apply
Senior Software Engineer - ML Performance
Latitude AI —Palo Alto, CA
- $179,200 - $268,800 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Writing skills
- Commuter assistance
- Paid parental leave
Quick Apply
Perception Machine Learning Engineer - Continuous Learning
Waymo —Mountain View, CA
- $175,000 - $215,000 a year
- Full-time
- Computer science
- Computer Science
- 3 years
9d
Sr. Machine Learning Engineer, Energy, Service
Tesla —Palo Alto, CA
- $124,000 - $258,000 a year
- Full-time
- Computer science
- Computer Science
- 3 years
- Commuter assistance
- Health savings account
Data Center Standards Architect
Lambda —San Jose, CA
- $443,000 - $590,000 a year
- Full-time
- Hybrid work
- System design
- Office
- Machine learning
- Health insurance
- Dental insurance

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Machine Learning Data Engineer (DataOps), Materra

Loon -
Mountain View, CA

Apply Now

Job Details

Full-time
$166,000 - $244,000 a year

Qualifications

Data integrity assurance
Data validation techniques
NoSQL
Scalable systems
Infrastructure architecture design
SQL
Data Architecture Design (Architecture design skills)
ETL process automation
Data quality monitoring
Scalability
Quality check automation
Technical architecture
MLOps
Metadata management
Metadata creation
Database software proficiency

Full Job Description

Software EngineeringMountain View, CA

About the team:

Materra is on a mission to radically reduce global waste and move to a true circular economy. The team has developed technology that identifies waste material at the molecular level—starting with plastics. Materra works with industry partners to improve the way recycling centers process plastics using AI and robotics, to make recycling more affordable and scalable.

About the Role

We are looking for a Machine Learning Data Engineer (DataOps) to build and unify the data infrastructure that powers our model training pipelines. In this role, you will lead the effort to consolidate fragmented data sources into a cohesive, high-quality data foundation.

Your primary focus will be designing automated ingestion pipelines, establishing data quality validation frameworks, and managing dataset versioning to support our machine learning training loops. You will bridge the gap between operations, remote annotation teams, and machine learning engineers to ensure our models are trained on reliable, well-structured data.

Key Responsibilities

Architect and build automated ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to aggregate, clean, and harmonize data from disparate sources, databases, and operational ingestion flows.
Implement DataOps practices, including data quality monitoring, automated schema validation, and anomaly detection to catch corrupt or mislabeled data early.
Standardize and integrate third-party annotation workflows and remote labeling feeds into unified datasets ready for model training.
Design and maintain dataset versioning and storage systems to allow reproducible machine learning experiments and seamless data retrieval.
Collaborate with machine learning engineers and operations teams to translate raw material, form factor, and sensor metadata into structured training features.

Requirements

Education: Degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
Data Engineering & Architecture: 3+ years experience building scalable data pipelines, managing relational and non-relational databases, and unifying fragmented data storage systems.
Modern Python Proficiency: Expertise in Python and data manipulation libraries (e.g., Pandas, NumPy, or SQL).
Data Quality & DataOps: Practical experience implementing automated data validation, quality control frameworks, and dataset versioning practices.
ML Data Lifecycle Understanding: Hands-on experience structuring datasets specifically for machine learning workflows, including handling annotations, metadata tracking, and training set curation.

Preferred Skills

Google Cloud Ecosystem: Hands-on experience with Google Cloud platform tools (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI Data Pipelines).
Workflow Orchestration: Experience managing pipelines using Google Cloud Composer or equivalent orchestration frameworks (e.g., Apache Airflow, Prefect, Dagster).
Multimodal / Unstructured Data: Experience handling mixed data types, including image datasets, sensor metadata, and unstructured physical property records.
Annotation Platform Integration: Familiarity with data labeling platforms, human-in-the-loop workflows, or integrating third-party annotation APIs.
Validation & Versioning Tooling: Exposure to data quality and ML versioning tools (e.g., Great Expectations, DVC, or TFX/Data Validation).

The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

An Equal Opportunity Workplace

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please contact us at [email protected].

Apply Now

Refine Your Search

machine learning operations architect jobs in sunnyvale, ca

Machine Learning Data Engineer (DataOps), Materra

Machine Learning Architect

Senior Staff Machine Learning Engineer, Tapestry

Cloud and Operations Lead Architect

Reinforcement Learning Engineer

AI Architect

Software Engineer, Machine Learning RecSys

Senior Software Engineer (AI)

Senior Machine Learning Engineer - AV Labs

Distinguished Machine Learning Engineer, Customer Intelligence and Recommendation

Compiler Architect

Solution Architect I

Sr. Principal Engineer/ Principal Engineer – Cloud Platform (10395, 10448)

Machine Learning Engineer, Model Hardware CoDesign

Staff Data Engineer

Staff Engineer - Machine Learning

Senior Software Engineer - ML Performance

Perception Machine Learning Engineer - Continuous Learning

Sr. Machine Learning Engineer, Energy, Service

Data Center Standards Architect

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